A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain
Most of the existing 3D video quality assessment (3D-VQA/SVQA) methods only consider
spatial information by directly using an image quality evaluation method. In addition, a few …
spatial information by directly using an image quality evaluation method. In addition, a few …
A reduced reference video quality assessment method based on the human motion perception
M Rohani, AN Avanaki… - 2010 5th …, 2010 - ieeexplore.ieee.org
Reduced Reference Video Quality Assessment (RRVQA) methods estimate the amount of
distortion in the distorted video using particular information from the original video. In this …
distortion in the distorted video using particular information from the original video. In this …
NIQSV: A no reference image quality assessment metric for 3D synthesized views
The popularity of 3D applications, such as Free View-point TV (FTV) and Multi-view Video
plus Depth (MVD), induces a heavy requirement of synthesized views. However, the quality …
plus Depth (MVD), induces a heavy requirement of synthesized views. However, the quality …
A spatiotemporal model of video quality assessment via 3D gradient differencing
Some of the video quality assessment (VQA) metrics assess the video quality using spatial
and temporal features separately, however, the video distortions are highly related to spatial …
and temporal features separately, however, the video distortions are highly related to spatial …
CVIQD: Subjective quality evaluation of compressed virtual reality images
The 360-degree spherical images/videos, also called Virtual Reality (VR) images/videos,
can provide immersive experience of the real-world scenes in some specific systems. This …
can provide immersive experience of the real-world scenes in some specific systems. This …
Study of spatio-temporal modeling in video quality assessment
Video quality assessment (VQA) has received remarkable attention recently. Most of the
popular VQA models employ recurrent neural networks (RNNs) to capture the temporal …
popular VQA models employ recurrent neural networks (RNNs) to capture the temporal …
A motion compensated approach to video quality assessment
AK Moorthy, AC Bovik - 2009 Conference Record of the Forty …, 2009 - ieeexplore.ieee.org
We propose a new full reference video quality assessment algorithm (FR VQA)-the motion
compensated structural similarity index (MC-SSIM). MC-SSIM evaluates spatial quality as …
compensated structural similarity index (MC-SSIM). MC-SSIM evaluates spatial quality as …
Kvq: Kaleidoscope video quality assessment for short-form videos
Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and
irreplaceable mainstream media form, thriving on user-friendly engagement, and …
irreplaceable mainstream media form, thriving on user-friendly engagement, and …
Quality assessment of stereoscopic 360-degree images from multi-viewports
Objective quality assessment of stereoscopic panoramic images becomes a challenging
problem owing to the rapid growth of 360-degree contents. Different from traditional 2D …
problem owing to the rapid growth of 360-degree contents. Different from traditional 2D …
Perceptual video quality metric for 3D video quality assessment
P Joveluro, H Malekmohamadi… - … : The True Vision …, 2010 - ieeexplore.ieee.org
One method of evaluating the quality of stereoscopic video is the use of conventional two
dimensional (2D) objective metrics. Metrics with good representation of the Human Visual …
dimensional (2D) objective metrics. Metrics with good representation of the Human Visual …